JP2022502803A - Systems and methods for integrating emotional data into social network platforms and sharing emotional data on social network platforms - Google Patents

Abstract

Integrate emotional data into social network platforms and disclose systems and methods for sharing emotional data on social network platforms connected through communication networks. The method comprises collecting user biorhythm data through a wearable user device. The method comprises receiving the user's biorhythm data through a computing device communicably connected to the wearable user device on a communication network. The method involves integrating emotional data through an integration module. The method comprises a step of determining a user's emotional state through an emotional state determination module. The method comprises a step of analyzing and displaying the user's emotional data in real time through the emotional data display module. [Selection diagram] Fig. 1

Description

[0001] The present invention relates to systems and methods that integrate emotional data into a social network platform to enhance communication between multiple users and enhance human connectivity and awareness between users, in particular the emotional data social network. Systems and methods for integrating into the platform and sharing emotional data on social network platforms.

[0002] With the advent of various social network platforms, people spend enormous amounts of time on the Internet interacting virtually with other connected users. It is recognized that the present specification can evaluate a user's mental state and understand the user's reaction to various activities occurring around the user. Mental states range from happiness to sadness, from satisfaction to anxiety, from excitement to peace. These mental states respond to daily events such as frustration during traffic jams, boredom while lining up, frustration while waiting for a cup of coffee, and even people on their computers. And experienced when interacting with the Internet. Individuals may become quite perceptive and empathetic based on assessing and understanding the mental state of others, but automatic assessment of mental state is much more difficult. Those who sympathize can perceive that others are anxious or happy and respond accordingly. The ability and means by which one person perceives another person's emotional state can be very difficult to summarize and is often transmitted as having "intuition."

[0003] Many mental states such as confusion, concentration, and anxiety can be identified to aid understanding of individuals or groups of people. People can respond collectively with fear or anxiety, such as after witnessing a catastrophe. Similarly, people can respond collectively with happy enthusiasm, as when their sports team wins. Certain facial expressions and head gestures can be used to identify the mental state a person is experiencing. There is limited automation in the evaluation of mental states based on facial expressions. Certain physiological conditions can provide indicators of a person's psychological state and are used in rough manners such as polygraph tests.

[0004] Similarly, people are now capable of providing immediate and continuous feedback in response to various social media such as photos, websites, and the like. Such feedback can be provided on computers, tablets, smartphones, and other devices that access the Internet. For example, "Like" is a way to give positive feedback or associate something of interest on the popular social media site Facebook®. In particular, the "Like" button on Facebook® is a button that the user can click after viewing most of the content on Facebook® and then to "Friends" in the news feed. Will be reported. Websites that are not related to Facebook® may also use the Like button, which allows website visitors to click the button and tell his / her friends that they like the site. I can tell you that. For example, after clicking the Like button on a website, a pop-up will require you to log in to Facebook (or sign up if you are not already a member) and on your Facebook page. Posts inform his / her friends that he / she likes the site. When used on mobile devices such as smartphones, the Like button is an integrated hardware on the phone that simply takes the user to Facebook® when the button is pressed. Facebook® button.

[0005] Similarly, a "Pin It" button on a computer or mobile device allows the user to capture images and videos from around the web and add them to the online pinboard created by the user. .. Other users can see the pinboard, comments, and "re-pin". The ability to allow people to interact with their environment using mobile devices has also been introduced. For example, location-based social networking websites "check in" where users use mobile websites, text messaging, or device-specific applications by selecting from a list of places where the application is located nearby. Allows you to. The location is based on the GPS hardware in the mobile device, or the network location provided by the application. Each check-in rewards user points or other types of rewards.

[0006] Even with these advances in technology, the ability to measure and evaluate user experience, effectiveness, and usability of social media, location, or experience is limited. In fact, the current methodology for measuring or assessing user experience, effectiveness, and usability of websites and other interactive internet and software media is traditional self-reporting, ie, users using the Like button. However, it has been limited to relying on accurately reflecting his / her actual response to social media that may be under the influence of errors, biases, or low compliance.

[0007] The popularity and growth of social network sites and services has increased dramatically over the last few years. Current social network sites are Facebook®, Google+®, Twitter®, MySpace®, YouTube®, LinkedIn®, Flicker®, and Jaiku. Includes (registered trademark), MYUBO (registered trademark), Bebo (registered trademark), and the like. Such social networking (SNET) sites are typically web-based and are configured around a collection of user profiles and / or content accessible by members of the network. Membership in such social networks consists of individuals or groups of individuals, who are generally represented by profile pages and are allowed to interact as determined by social networking services. ..

[0008] In many popular social networks, especially those that focus on profiles, activities include activities, interests, opinions, status updates, audio / video content across the network of contacts where members view their profiles. Focus on web pages or social spaces that allow you to communicate and share such things. Social networking services also allow members to track and collaborate on certain activities of other members of the social network, find and connect with existing friends, former acquaintances, and colleagues, and establish new connections with other members. May be possible.

[0009] Therefore, integrate various sensors into computing devices, work with social network platforms, remove the Like button and replace it with a continuous stream of emotional reactions across all experiences. There is a technical need for systems and methods that can perform a variety of functions. Determine when users unknowingly like (or dislike) their current experience, such as web pages, "apps", songs, videos, locations, or other experiences, and in real time, especially others. There is also a technical need for a suite of applications built into smartphones, tablets, and other social media-enabled devices that remotely monitor a user's stress levels and well-being based on user emotional information. It is said that. In addition, to see other users' emotional data attached to or represented in posts and content shared on social network platforms or privately shared between two users on messaging / audio recording applications. In response, there is a need to provide systems and methods for dynamic approaches to tracking biorhythms.

[0010] Therefore, in view of the above, there has been a long-standing need in the industry to address the above-mentioned shortcomings and deficiencies.

[0011] Further limitations and disadvantages of conventional and traditional approaches are described here through comparisons of the systems described with some aspects of the present disclosure, as described with reference to the drawings in the rest of the application. It will be revealed to the trader.

[0012] A system for integrating emotional data into a social network platform and sharing emotional data on social network platforms connected through communication networks is provided substantially and is described more fully in the claims. As shown and / or described in connection with at least one of the drawings.

[0013] The present invention provides a method for integrating emotional data into a social network platform and sharing the emotional data on a social network platform connected through a communication network. The method comprises collecting the user's biorhythm data through a wearable user device configured to be mounted on the user's body, close to the body, or placed (embeddable) in the user's body. .. The method comprises receiving the user's biorhythm data through a computing device communicatively connected to the wearable user device on a communication network. The method involves integrating emotional data through an integration module. The method comprises a step of determining a user's emotional state through an emotional state determination module. The method involves analyzing and displaying the user's emotional data in real time through the emotional data display module.

[0014] The integrated module performs multiple steps, starting with the step of collecting physiological data of at least one physiological characteristic of the user through a physiological data acquisition engine. The method comprises processing physiological data into at least one biological signal through a biological signal generation engine. The method comprises monitoring and measuring biological signals through a score calculation engine to determine at least one score for at least one of a user's emotions and a user's stress. The method integrates the score with at least one of social media posts, text conversations, and multimedia conversations (audio, video) associated with social network platforms through social integration and information overlay engines, and the user's emotions. And includes steps to overlay information about user stress.

[0015] When the emotional state determination module receives biorhythm data from a wearable user device through the analysis module, it performs a plurality of steps starting from the step of analyzing the user's emotional state. The method is one or more posts shared by the user, one or more content shared by the user, one or more reactions to the post, and one or more to the post on the social network platform through the emotion module. Includes a step of associating the analyzed emotional state of the user corresponding to at least one of the responses of. The method comprises displaying a representation of the user's emotional state on a social network platform through a display module.

[0016] The emotion data display module performs a plurality of steps starting from the step of analyzing the biorhythm data and calculating the user's emotion score in order to generate one or more insights through the algorithm module. The emotion score indicates the emotional state of the user during the dialogue. The method comprises a step of visually representing multiple emotional cycles during a particular amount of time about the user through a visualization module. The visualization module displays the user's insights and emotion scores on the computing device associated with the user.

[0017] In one aspect, the emotion module facilitates the user initiating a command that associates the user's emotional state with the post shared by the user and the content shared with the user.

[0018] In one aspect, the display module displays an emotional state representation of a post shared by the user and content shared with the user upon receiving a request command from the user.

[0019] In one aspect, the visualization module uses at least one of a plurality of alphanumeric characters, a plurality of geometric shapes, a plurality of holograms, and a plurality of symbols including a color or a moving shape. The data is displayed in multiple ways on at least one of a two-dimensional (2D) graph and a three-dimensional (3D) graph.

[0020] In one aspect, emotional data can be a brain wave (EEG) sensor, a galvanometer sensor, an electrocardiograph sensor, a heart rate sensor, a line-of-sight tracking sensor, a blood pressure sensor, a pedometer, a gyroscope, and some other type. It can be obtained by using one or more biometric sensor such as the sensor of. The sensor may be connected to a wearable user device such as a wearable headset, ring, watch, bracelet, and / or headband worn by the user. The sensor may be connected to the wearable user device by wire or wirelessly.

[0021] In one aspect, the medical professional can see an overlay of the user's (patient's) emotional state / biometric information on their day's visual diary. This information can be used to understand the patient, recognize patterns, and visualize the situation. Similarly, an overlay of a user's emotional state / consciousness level can be shown on any web or mobile application by integrating biorhythm data collected from the user in real time.

[0022] In one aspect, information about the second user's emotions can be published and / or posted on any social media website, portal or channel. Information can be overlaid and / or integrated with text messages, Skype chat or calls, and / or some other form of instant messaging or communication.

[0023] In one aspect, the user's emotions can be dynamically tracked based on the secondary user's emotions.

[0024] In one aspect, the score may be expressed numerically and as a photograph illustrating emotions such as anger, sadness, and happiness.

[0025] Another aspect of the invention relates to a system that integrates emotional data into a social network platform and shares emotional data on social network platforms connected through a communication network. The system includes wearable user devices and computing units. The wearable user device is configured to be worn near the body of the user or placed (embedded) in the body of the user in order to collect the biorhythm data of the user. The computing unit is communicably connected to the wearable user device to receive the user's biorhythm data over the communication network. The computing unit includes a processor and memory coupled to the processor. The memory includes an integrated module, an emotional state determination module, and an emotional data display module. The integration module integrates emotional data into social network platforms. The emotional state determination module determines the emotional state of the user. The emotion data display module analyzes and displays the user's emotion data in real time.

[0026] The integration module includes a physiological data acquisition engine, a biological signal generation engine, a score calculation engine, and a social integration and information overlay engine. The physical data acquisition engine collects physiological data of at least one physiological characteristic of the user. The biological signal generation engine processes physiological data into at least one biological signal. The score calculation engine monitors and measures biological signals to determine at least one score for at least one of the user's emotions and the user's stress. The social integration and information overlay engine integrates the score with at least one of the social media posts, text conversations, and multimedia conversations (audio, video) associated with the social network platform, the user's emotions and the user's. Overlay information about stress.

[0027] The emotional state determination module includes an analysis module, an emotional module, and a display module. Upon receiving the biorhythm data from the wearable user device, the analysis module analyzes the emotional state of the user. Emotion modules are one or more posts shared by users, one or more content shared by users, one or more reactions to posts, and one or more responses to posts on social network platforms. Associate the analyzed emotional state of the user corresponding to at least one of them. The display module displays an expression of a user's emotional state on a social network platform.

[0028] The emotion data display module includes an algorithm module and a visualization module. The algorithm module analyzes the biorhythm data and calculates the user's emotion score to generate one or more insights. The emotion score indicates the emotional state of the user during the dialogue. The visualization module visually represents multiple emotional cycles during a particular amount of time about the user. The visualization module displays the user's insights and emotion scores on the computing device associated with the user.

[0029] Therefore, one advantage of the present invention is to enhance communication between a plurality of users and enhance human connection and recognition between users.

[0030] Therefore, one advantage of the present invention is to use biorhythms to monitor the emotions of those who share such information with others on the Internet. More specifically, the present invention relates to measuring a user's biorhythm and sharing it on a social media network.

[0031] Therefore, one advantage of the present invention is to provide the user with a social platform for sharing emotional data, allowing other users to visualize it to improve and address emotional states. That is.

[0032] Therefore, one advantage of the present invention is to determine a user's emotional state based on the user's biorhythm and relay the emotional state to other users via a social network platform.

[0033] Therefore, one advantage of the present invention is to provide the user's emotional data periodically to help the user optimize his or her emotional and psychological state over time, allowing the user to be more consistent. To make it possible to feel a positive state.

[0034] Other features of the embodiments of the present invention will be apparent from the accompanying drawings and from the detailed description below.

Still other objects and advantages of the present invention will be readily apparent to those of skill in the art following a detailed description. Preferred embodiments of the present invention are shown and illustrated merely as illustrations of the best modes contemplated herein for carrying out the present invention. As will be appreciated, the invention is capable of other different embodiments, all of which can be modified in various obvious ways without departing from the invention. Therefore, the drawings and their description should be viewed as exemplary in nature, not as a limitation.

[0036] In drawings, similar components and / or features may have the same reference label. In addition, different components of the same type can be distinguished by a second label following the reference label, which distinguishes them from similar components. Where only the first reference label is used herein, the description applies to any one of the similar components having the same first reference label regardless of the second reference label. It is a thing.
[0037] FIG. 1 illustrates a block diagram of the system that integrates emotional data into a social network platform and shares emotional data on a social network platform connected through a communication network, according to an embodiment of the invention. .. [0038] FIG. 2 illustrates a network implementation of the system according to an embodiment of the present disclosure. [0039] FIG. 3 illustrates a block diagram of various modules in memory of a computing device, according to another embodiment of the invention. [0040] FIG. 4 illustrates a flow chart of how emotional data is integrated into a social network platform and shared on social network platforms connected through a communication network, according to an alternative embodiment of the invention. [0041] FIG. 5 illustrates a flow chart of a plurality of steps performed by an integrated module according to an alternative embodiment of the invention. [0042] FIG. 6 illustrates a flow chart of a plurality of steps performed by the emotional state determination module according to an alternative embodiment of the present invention. [0043] FIG. 7 illustrates a flow chart of a plurality of steps performed by the emotion data display module according to an alternative embodiment of the present invention.

Detailed explanation

[0044] The present disclosure is best understood with reference to the detailed figures and description provided herein. Various embodiments have been described with reference to the surface. However, one of ordinary skill in the art will readily appreciate that the detailed description provided herein with respect to the drawings is for illustration purposes only and that the methods and systems may be extended beyond the embodiments described. Let's do it. For example, the teachings presented and the needs of a particular application can provide multiple alternatives and appropriate approaches to achieve the functionality of any detail described herein. Therefore, any approach can be extended beyond certain implementation choices in the following embodiments.

[0045] References to "one embodiment", "at least one embodiment", "embodiment", "one example", "example", "eg", etc. are characterized by the particular embodiment or example. , Structure, property, property, element, or limitation, but indicates that not all embodiments or examples necessarily include that particular feature, structure, property, property, element, or limitation. .. Moreover, repeated use of the phrase "in one embodiment" does not necessarily refer to the same embodiment.

[0046] The method of the present invention can be realized by performing or completing selected steps or tasks manually, automatically, or in combination thereof. The term "method" includes methods, means, techniques and procedures readily developed from methods, means, techniques and procedures known or known by those skilled in the art to which the present invention belongs. Refers to methods, means, techniques and procedures for accomplishing a given task, not limited to. The statements, examples, methods, and materials presented in the claims and specification should be construed as illustrative rather than limiting. Those of skill in the art will assume many other possible variations within the scope of the technology described herein.

[0047] FIG. 1 is a block diagram of the system 100 that integrates emotional data into a social network platform and shares emotional data on a social network platform connected through a communication network, according to an embodiment of the present invention. Shows. The system 100 includes a wearable user device 102 and a computing device 104. The wearable user device 102 is configured to be mounted on or near the user's body or placed in the user's body (embeddable) to collect biorhythm data of the user 118. Examples of wearable user devices 102 include, but are not limited to, implantable wireless sensor devices, smart watches, smart jewelry, fitness trackers, smart cloths, and the like. In embodiments, the wearable user device 102 includes various sensors for detecting one or more parameters regarding the emotions of the user 118. In one embodiment, the wearable user device 102 may include a flexible body that can be secured around the user 118's body to collect biorhythm data. In one embodiment, the wearable user device 102 may include an accelerometer and a gyroscope to collect biorhythm data. In one embodiment, the wearable user device 102 may include a fixing mechanism for fixing the wearable user device 102 around the wrist of the user 118 in a closed loop. Further, the wearable user device 102 may be any wearable, such as an on-body sticker or 3D printing device printed directly on the skin, or a device placed on the body using an adhesive. The wearable user device 102 may utilize various wired or wireless communication protocols to establish communication with the computing unit 104.

[0048] The computing device 104 is communicably connected to the wearable user device 102 to receive the user's biorhythm data on the communication network 106. The communication network 106 may be a wired or wireless network, eg Internet, Wireless Local Area Network (WLAN), Wi-Fi, Long Term Evolution (LTE®), World for Microwave Access. Interoperability (WiMAX), General Purpose Packet Radio Service (GPRS), Bluetooth® (BT) Communication Protocol, Transmission Control Protocol and Internet Protocol (TCP / IP), User Datagram Protocol (UDP), Hypertext Transfer Protocol ( HTTP), File Transfer Protocol (FTP), ZigBee, EDGE, Infrared (IR), Z-Wave, Thread, 5G, USB, Serial, RS232, NFC, RFID, WAN, and / or IEEE802.11, 802.16, 2G, 3G, and 4G cellular communication protocols may be included, but are not limited thereto.

[0049] Examples of computing devices 104 include, but are not limited to, laptops, desktops, smartphones, smart devices, smart watches, phablets, and tablets. The computing device 104 includes a processor 110, a memory 112 communicatively coupled to the processor 110, and a user interface 114. The computing device 104 is communicably coupled to the database 114. Database 116 receives and stores emotional data and query data that can be used for further analysis and prediction, whereby the system learns and improves analysis by using historical emotional data. can do. The subject matter is described in light of the fact that the System 100 is implemented on a cloud device, but the System 100 also seems to be an Amazon Elastic Compute Cloud (Amazon EC2), a network server, and the like. It should be understood that it may be implemented within various computing systems.

[0050] Processor 110 may include at least one data processor for executing program components for executing user or system generated requests. A user may include a person, a person who uses a device such as that included in the present invention, or the device itself. The processor 110 can include a dedicated processing unit such as an integrated system (bus) controller, a memory management control unit, a floating point unit, a graphics processing unit, a digital signal processing unit, and the like.

[0051] Processor 110 is a microprocessor such as an AMD® ATHLON® microprocessor, DURON® microprocessor, or OPTERON® microprocessor, an ARM application, an embedded or secure processor. , IBM® POWERPC®, INTEL CORE® processor, ITANIUM® processor, XEON® processor, CELERON® processor, or a series of other processors. It may be included. Processor 110 may be implemented using a mainframe, distributed processor, multi-core, parallel, grid, or other architecture. Some embodiments may utilize embedded technologies such as application specific integrated circuits (ASICs), digital signal processors (DSPs), field programmable gate arrays (FPGAs), and the like.

[0052] Processor 110 may be arranged to communicate with one or more input / output (I / O) devices via an I / O interface. I / O interfaces are audio, analog, digital, RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS / 2, BNC, coaxial, component, composite, digital visual interface (DVI). , High-definition multimedia interface (HDMI (registered trademark)), RF antenna, S-Video, VGA, IEEE802. n / b / g / n / x, Bluetooth®, Cellular (eg Code Division Multiple Access (CDMA), High Speed Packet Access (HSPA +), Global System for Mobile Communication (GSM®), Long Term Communication protocols / methods such as Evolution (LTE®, WiMAX, or the like) may be used, but are not limited thereto.

[0053] The memory 112 may be a non-volatile memory or a volatile memory. Examples of volatile memories may include flash memory, read-only memory (ROM), programmable ROM (PROM), erasable PROM (EPROM), and electrical EPROM (EEPROM®) memory, although Not limited to these. Examples of volatile memory may include, but are not limited to, dynamic random access memory (DRAM) and static random access memory (SRAM).

[0054] The user interface 114 can present integrated emotion data and shared emotion data according to the request of the administrator of the system. In one embodiment, the user interface (UI or GUI) 114 is a convenient interface for accessing the social network platform and viewing the biorhythm data of the connected user. Biorhythm data includes, but is not limited to, heart rate, heart rate variability, skin potential (EDA) / electroskin response (GSR), respiratory rate, 3D accelerometer data, and gyroscope data, body temperature, among others. Biorhythm data can be processed to generate signals based on mathematical descriptions or algorithms. The algorithm may be introduced via software. Data may be processed on the wearable user device side. The data may also be temporarily stored there before being acted upon.

[0055] FIG. 2 illustrates a network implementation 200 of the system according to one embodiment of the present disclosure. FIG. 2 will be described in connection with FIG. The computing devices 104-1, 104-2, and 104-N are communicably connected to the wearable user devices 102-1, 102-2, and 102-N to receive the user's biorhythm data through the communication network 106. Will be done. The server 108 stores and processes the integrated and shared emotional data. The computing device 104 or the wearable user device 102 may initiate a sound notification (any type of sound). Different sounds should be emitted by one or more of the wearable user devices 102 to notify the user to perform one of several different behaviors based on the user's current emotional state score. be. It should be understood that the behavior does not have to be limited to one behavior and the sound can signal multiple (many) actions. Sound-related behaviors allow the user to change their behavior to approach the user's desired / preset emotional state, or to move in a direction that changes a more specific biorhythm. Should be useful.

[0056] In one aspect, the network architecture of the wearable user device 102 and the computing device 104 can include one or more Internet of Things (IoT) devices. A typical network architecture of the present disclosure can include multiple network devices such as transmitters, receivers, and / or transceivers that may include one or more IoT devices.

[0057] In one aspect, the wearable user device 102 can interact directly with the cloud and / or cloud server and IoT device. The data and / or information collected may be stored directly in the cloud server without taking up any space on the user mobile and / or portable computing device. Mobile and / or portable computing devices can interact directly with the server to receive information for feedback activation, trigger feedback, and deliver feedback. Examples of feedback are auditory feedback, tactile feedback, and tactile feedback from primary wearable devices, secondary wearable devices, separate computing devices (ie mobile), or IoT devices (which may or may not be computing devices). Includes, but is not limited to, feedback, vibration feedback, or visual feedback.

As used herein, IoT devices, along with sensing and / or control functions, are WiFi® transceiver radios or interfaces, Bluetooth® transceiver radios or interfaces, Zigbee® transceiver radios. Or an interface, an ultra-broadband (UWB) transceiver radio or interface, a WiFi-direct transceiver radio or interface, a Bluetooth® low energy (BLE) transceiver radio or interface, and / or an IoT device with a wide area network and one or more. It may be a device that includes some other wireless network transceiver radio or interface that allows it to communicate with other devices. In some embodiments, the IoT device does not include a cellular network transceiver or interface and therefore may not be configured to communicate directly with the cellular network. In some embodiments, the IoT device may include a cellular transceiver radio and may be configured to communicate with the cellular network using the cellular network radio.

[0059] The user may communicate with the computing device using an access device which may include any human-machine interface having network connectivity capable of allowing access to the network. For example, the access device can be a stand-alone interface (eg, cellular phone, smartphone, home computer, laptop computer, tablet, personal digital assistant (PDA), computing device, wearable device such as smart watch, wall panel, or these. Interfaces built into electrical equipment or other devices (eg, televisions, refrigerators, security systems, game consoles, browsers, or the like), conversational or gesture interfaces (eg, Kinct®). Includes sensors, Wiimote®, or similar), IoT device interfaces (eg, Internet-enabled devices such as wall switches, control interfaces, or other suitable interfaces), or the like. It is also good. In some embodiments, the access device may include a cellular or other broadband network transceiver radio or interface, such that the cellular or broadband network transceiver radio is used to communicate with the cellular or other broadband network. It may be configured. In some embodiments, the access device may not include a cellular network transceiver radio or interface.

[0060] In one embodiment, the user may be provided with an input / display screen configured to display information about the current state of the system to the user. The input / display screen can acquire input from an input device, in the current example, a button. The input / display screen may also be configured as a touch screen or may accept input for determining vital or biological signals through a touch or tactile based input system. Input buttons and / or screens are configured to allow the user to respond to input prompts from the system regarding the required user input.

The information that can be displayed on the screen to the user may be, for example, the number of treatments provided, biological signal values, vitals, battery charge level, and volume level. The input / display screen may obtain information from a waveform generator or a processor that may also be used as a separate processor. The processor provides the information available for display and allows the user to initiate a menu selection. The input / display screen may be a liquid crystal display to minimize battery power consumption. Input / display screens and input buttons may be illuminated to provide the user with the ability to operate the system at low light levels. Information can be obtained from the user through the use of input / display screens.

[0062] FIG. 3 illustrates a block diagram of various modules in memory 112 of a computing device, according to another embodiment of the invention. FIG. 3 will be described in connection with FIG. The memory 110 includes an integrated module 202, an emotion state determination module 204, and an emotion data display module 206.

[0063] Integration module 202 integrates emotional data into a social network platform. The emotional state determination module 204 determines the emotional state of the user. The emotion data display module 206 analyzes and displays the user's emotion data in real time.

[0064] The integration module 202 includes a physiological data acquisition engine 208, a biological signal generation engine 210, a score calculation engine 212, and a social integration and information overlay engine 214. The physiological data acquisition engine 208 collects physiological data of at least one physiological characteristic of the user. The biological signal generation engine 210 processes physiological data into at least one biological signal. The score calculation engine 212 monitors and measures biological signals to determine at least one score for at least one of the user's emotions and the user's stress. The social integration and information overlay engine 214 integrates the score with at least one of the social media posts, text conversations, and multimedia conversations (audio, video) associated with the social network platform, the user's emotions and the user. Overlay information about your stress.

[0065] The emotional state determination module 204 includes an analysis module 216, an emotional module 218, and a display module 220. Upon receiving the biorhythm data from the wearable user device, the analysis module 216 analyzes the emotional state of the user. Emotion Module 218 is a social network platform that includes one or more posts shared by users, one or more content shared by users, one or more reactions to posts, and one or more to posts. Correlate the analyzed emotional state of the user corresponding to at least one of the responses. In one embodiment, the emotion module 218 facilitates the user to initiate a command relating the user's emotional state corresponding to the post shared by the user and the content shared to the user. The display module 220 displays an expression of the user's emotional state on the social network platform. In one embodiment, the display module 220 displays an emotional state representation of a post shared by the user and content shared to the user upon receiving a request command from the user.

[0066] The emotion data display module 206 includes an algorithm module 222 and a visualization module 224. The algorithm module 222 analyzes the biorhythm data and calculates the user's emotion score in order to generate one or more insights. The emotion score indicates the emotional state of the user during the dialogue. The visualization module visually represents multiple emotional cycles during a particular amount of time about the user. The visualization module 224 displays the user's insights and emotion scores on the computing device associated with the user. In one embodiment, the visualization module 224 uses emotional data by using at least one of a plurality of alphanumeric characters, a plurality of geometric shapes, a plurality of holograms, and a plurality of symbols including a color or a moving shape. Is displayed in multiple ways on at least one of a two-dimensional (2D) graph and a three-dimensional (3D) graph.

[0067] This specification further describes various use cases. In the first use case, the user feels very good at this point. But in the next moment, the user sees posts on social media, gets text from his friends, and sees random posts about news on the Internet. Suddenly, there are changes in emotions based on such new information. Therefore, it is necessary to determine changes in the user's emotions and at the same time share them with any secondary user.

[0068] In one embodiment, this emotional change is dynamic and real-time. This change is caused by a change in the state of another user. This change is determined by a biosensor that is connected to the user's body wirelessly or by a wired medium. Changes in the biorhythm and emotions of the user who have determined the change are transmitted to the communication channel to the second user if the user grants permission. In one embodiment, the threshold can be predetermined and based on the threshold and deviating from the threshold, the system and method change the user communication to another channel to relax and / or calm the user. In one embodiment, other users may also obtain information on the communication channel based on their score about their emotions.

[0069] FIG. 4 illustrates a flowchart 400 of a method for integrating emotional data into a social network platform and sharing emotional data on a social network platform connected through a communication network, according to an alternative embodiment of the invention. Shows. The method steps 402 to collect the user's biorhythm data through a wearable user device configured to be mounted on the user's body, close to the body, or placed (embeddable) in the user's body. include. The method comprises receiving the user's biorhythm data through a computing device communicably connected to the wearable user device on the communication network. The method comprises integrating emotional data through an integration module, step 406. The method comprises step 408 of determining a user's emotional state through an emotional state determination module. The method comprises step 410 of analyzing and displaying the user's emotional data in real time through the emotional data display module.

[0070] FIG. 5 illustrates a flowchart 500 of a plurality of steps performed by an integrated module according to an alternative embodiment of the present invention. The integrated module performs multiple steps starting with step 502 to collect physiological data of at least one physiological characteristic of the user through a physiological data acquisition engine. The method comprises processing physiologic data into at least one biosignal through a biosignal generation engine. The method comprises monitoring and measuring biological signals through a score calculation engine to determine at least one score for at least one of a user's emotions and a user's stress. The method integrates the score with at least one of social media posts, text conversations, and multimedia conversations (audio, video) associated with social network platforms through social integration and information overlay engines, and the user's emotions. And step 508 to overlay information about user stress.

[0071] FIG. 6 illustrates a flow chart 600 of a plurality of steps performed by the emotional state determination module according to an alternative embodiment of the present invention. Upon receiving the biorhythm data from the wearable user device through the analysis module, the emotional state determination module performs a plurality of steps starting from step 602 to analyze the user's emotional state. The method is one or more posts shared by the user, one or more content shared by the user, one or more reactions to the post, one or more responses to the post on the social network platform through the emotion module. Includes step 604. In one embodiment, the emotion module facilitates the user initiating a command that associates the user's emotional state with the post shared by the user and the content shared with the user. The method comprises displaying a representation of a user's emotional state on a social network platform through a display module 606. In one embodiment, the display module displays an emotional state representation of a post shared by the user and content shared with the user upon receiving a request command from the user.

[0072] FIG. 7 illustrates a flowchart 700 of a plurality of steps performed by the emotion data display module according to an alternative embodiment of the present invention. The emotion data display module analyzes biorhythm data through an algorithm module, calculates the user's emotion score, and performs a plurality of steps starting from step 702 to generate one or more insights. The emotion score indicates the emotional state of the user during the dialogue. The method comprises step 704, which visually represents multiple emotional cycles during a particular amount of time about the user through a visualization module. The visualization module displays the user's insights and emotion scores on the computing device associated with the user. In one embodiment, the visualization module captures emotional data by using at least one of a plurality of alphanumeric characters, a plurality of geometric shapes, a plurality of holograms, and a plurality of symbols including a color or a moving shape. Display in multiple ways on at least one of a two-dimensional (2D) graph and a three-dimensional (3D) graph.

[0073] Accordingly, the present invention provides a social network platform that allows a user to add more connections, and invitations are sent to other users to make connections. After acceptance from other users, users may submit data in various formats, including but not limited to photos, messages, attachments in various document file formats or image formats or video formats, audio clips, videos, animations / gifs. Can be shared. Based on the shared data or information, the user responds to emotions and feelings through the emotion icon, for example by clicking the corresponding button representing sadness, happiness, laughter, love, and the like. , Can be shared. The system allows a user to request that the user's emotional state regarding some of the content shared by the user and at least one of the content shared by the user be associated in a social network. do. The user may place the emotion icon either adjacent to or overlaid on a portion of the content. The user can change the emotion icon to be translucent, or use some other visual effect to respond to some of the content on social networks.

Although embodiments of the present invention have been illustrated and described, it will be clear that the present invention is not limited to these embodiments alone. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art without departing from the scope of the invention described in the claims.

Claims (8)

A system that integrates emotional data into a social network platform and shares the emotional data on the social network platform connected through a communication network.
Wearable user devices that collect user biorhythm data,
Includes a wearable user device and a computing device communicably connected to receive the biorhythm data of the user on the communication network.
The computing device is
With the processor
A memory that is communicably coupled to the processor, wherein the memory stores instructions executed by the processor.
Here, the memory is
An integrated module that integrates the emotional data,
The integrated module
A physiological data acquisition engine that collects physiological data of at least one physiological characteristic of the user.
A biological signal generation engine that processes the physiological data into at least one biological signal,
A score calculation engine that monitors and measures the biological signal to determine at least one score for at least one of the user's emotions and the user's stress.
Social integration that integrates the score with at least one of the social media posts, text conversations, and multimedia conversations associated with the social network platform and overlays information about the user's emotions and the user's stress. And including information overlay engine, and,
An emotional state determination module that determines the emotional state of the user,
The emotional state determination module is
Upon receiving the biorhythm data from the wearable user device, an analysis module that analyzes the emotional state of the user and an analysis module.
One or more posts shared by the user, one or more content shared by the user, one or more reactions to the post, and one or more to the post on the social network platform. An emotional module for associating the analyzed emotional state of the user with at least one of the responses.
A display module that displays an expression of the user's emotional state on the social network platform.
It includes an emotion data display module that analyzes and displays the user's emotion data in real time.
The emotion data display module is
An algorithm module for analyzing the biorhythm data and calculating the user's emotion score to generate one or more insights, wherein the emotion score indicates the user's emotional state during a dialogue. When,
Includes a visualization module for visually representing a plurality of emotional cycles during a particular amount of time for the user, wherein the visualization module is on the computing device associated with the user. A system that displays the user's insights and emotional scores. The emotion module facilitates the user to initiate a command relating the user's emotional state corresponding to the post shared by the user and the content shared to the user. The system according to claim 1. The system according to claim 1, wherein the display module displays an expression of an emotional state for a post shared by the user and content shared by the user when a request command from the user is received. The visualization module uses at least one of a plurality of alphanumeric characters, a plurality of geometric shapes, a plurality of holograms, and a plurality of symbols to display emotional data in a two-dimensional (2D) graph and a three-dimensional (2D) graph. 3D) The system of claim 1, wherein the graph is displayed in at least one of a plurality of ways. A method of integrating emotional data into a social network platform and sharing the emotional data on the social network platform connected through a communication network.
Steps to collect user biorhythm data through a wearable user device,
A step of receiving the biorhythm data of the user through a computing device communicably connected to the wearable user device on the communication network.
Steps to integrate the emotional data through the integration module,
Here, the integrated module is
A step of collecting physiological data of at least one physiological characteristic of the user through a physiological data acquisition engine.
A step of processing the physiological data into at least one biological signal through a biological signal generation engine.
A step of monitoring and measuring the biological signal to determine at least one score for at least one of the user's emotions and the user's stress through a score calculation engine.
Through social integration and information overlay engines, the score is integrated with at least one of the social media posts, text conversations, and multimedia conversations associated with the social network platform, and the emotions of the user and the stress of the user. Perform multiple steps, including a step that overlays information about
A step of determining the user's emotional state through the emotional state determination module,
Here, the emotional state determination module is
Upon receiving the biorhythm data from the wearable user device through the analysis module, the step of analyzing the emotional state of the user and the step of analyzing the emotional state of the user.
One or more posts shared by the user, one or more content shared by the user, one or more reactions to the post, and one to the post on the social network platform through the emotion module. The step of associating the analyzed emotional state of the user corresponding to at least one of the two or more responses.
Performing a plurality of steps, including displaying the expression of the emotional state of the user on the social network platform through the display module.
Including the step of analyzing and displaying the emotion data of the user in real time through the emotion data display module.
Here, the emotion data display module is
A step of analyzing the biorhythm data and calculating the user's emotion score through an algorithm module to generate one or more insights, wherein the emotion score indicates the user's emotional state during a dialogue. When,
A plurality of steps are performed through the visualization module, including a step that visually represents a plurality of emotional cycles for a particular amount of time for the user, wherein the visualization module is associated with the user. A method of displaying the user's insights and emotion scores on the computing device. The emotion module facilitates the user to initiate a command relating the user's emotional state corresponding to the post shared by the user and the content shared to the user. The method according to claim 5. The method according to claim 5, wherein the display module displays an expression of an emotional state for receiving a request command from the user and content shared to the user when the request command from the user is received. The visualization module uses at least one of a plurality of alphanumeric characters, a plurality of geometric shapes, a plurality of holograms, and a plurality of symbols to display emotional data in a two-dimensional (2D) graph and a three-dimensional (2D) graph. 3D) The method of claim 5, wherein at least one of the graphs is displayed in a plurality of ways.

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